Operations Executive

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

Hiring: ASP.NET MVC / Core Developer

Location: Ahmedabad |Full-time (Onsite / Hybrid)

 Apply: https://prishusoft.com/jobs/junior-aspnet-mvccore-professional

Experience

• 1–4 years in web application development using ASP.NET technologies.

Key Responsibilities

• Develop and maintain web apps using ASP.NET MVC/Core.
• Build and consume RESTful APIs with Web API.
• Collaborate with front-end and design teams for smooth integration.
• Write optimized T-SQL queries and manage MS SQL Server.
• Participate in code reviews and performance improvements.

Technical Skills

• Proficient in C#, ASP.NET MVC/Core, and Web API.
• Strong knowledge of JavaScript, HTML, and .NET Framework 4.5+.
• Hands-on with SQL, indexing, and query optimization.

Bonus Skills

• Experience with Angular / React / Vue.
• Familiarity with TypeScript and unit testing (Jasmine, Karma).
• Understanding of DevOps and CI/CD pipelines.

Soft Skills

• Good communication and teamwork.
• Positive attitude and eagerness to learn.

Join us in Ahmedabad and grow with a passionate tech team!

"Hands-on experience with minimum 3 years of programming experience in JAVA 8 (or) 11.
Good experience using Springboot, Hibernate or JPA frameworks, Spring Security, Spring MVC (or) Spring Ioc (or) Spring AoP (or) any other spring framework.
Good experience in utilizing & working in Restful Webservices & Java Collection."
"Experience in Swagger, Microservices, Basic security, Design patterns.
Good Experience in utilising & working with Cosmos (or) MySQL."

Android Developer

Skills Required: -

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Ability to design applications around natural user interfaces, such as “touch”
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications
• A knack for benchmarking and optimization
• Understanding of Google’s Android design principles and interface guidelines
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration
• Should be good in Socket.io and Google map api integration expert.

Android Developer Requirements:

• Degree in software development, computer science, or similar.
• Proficiency in Java, Kotlin, or C++.
• Ability to use the Android Studio, including the Android SDK, with ease.
• Prior experience as an android developer will be advantageous.
• Excellent coding and proofreading skills.
• Top-notch teamwork and communication skills.
• Ability to manage your workload with minimal supervision.

Manage all aspects of assigned properties

Design business plans for assigned properties that suit customers’ needs

Inspect and arrange maintenance to meet standards

Maintain a positive, productive relationship with tenants

Negotiate lease/contracts with contractors in a timely and reliable manner

Advertise and market vacant spaces to attract tenants

Collect receivable accounts and handle operating expenses

Develop and manage annual budgets by forecasting requirements and analyzing variances, data and trends

Oversee properties’ personnel and assess its performance

Accomplish financial goals and report periodically on financial performance

Source and build relationships with prospective clients to expand business opportunities

Update job and market knowledge

• Become the expert of our platform and have a complete understanding of our features and use-cases.
• Conduct product demonstrations on a daily basis to clients.
• Own the full sales cycle of closing a deal.
• Discover customer needs and communicate to prospects how company is different from all other competitive platforms.
• Ability to crack annual deals from clients by smartly using closing levers.

• Sales guy in-person meetings + on-spot closure with institutes.
• Should have 1+ years relevant experience in the SaaS domain.
• Should have a two-wheeler

• Must have two wheeler
• Well versed in Regional Language along with English
• SaaS experience